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CN-121983271-A - Intelligent risk management and control auxiliary method and system for high-pressure injector

CN121983271ACN 121983271 ACN121983271 ACN 121983271ACN-121983271-A

Abstract

The invention discloses an intelligent risk management and control auxiliary method and system for a high-pressure injector, belonging to the technical field of medical equipment intelligent control and medical information systems, wherein the intelligent risk management and control auxiliary method and system comprises the steps of acquiring identification information of a patient, acquiring medical data of the patient from a hospital information system according to the identification information, and generating structured patient information; the method comprises the steps of analyzing structured patient information based on preset medical rules and natural language processing models to generate a risk tag set containing risk types and risk grades, generating risk prompt information according to the risk tag set, starting a confirmation mechanism at the same time, locking an injection process before confirmation is completed, generating a structured report conforming to medical information exchange standards after examination is completed, and transmitting the structured report back to a hospital information system.

Inventors

  • JIN YUQIN

Assignees

  • 山东第一医科大学附属肿瘤医院(山东省肿瘤防治研究院、山东省肿瘤医院)

Dates

Publication Date
20260505
Application Date
20260129

Claims (9)

  1. 1. An intelligent risk management and control auxiliary method for a high-pressure injector is characterized by comprising the following steps of: Acquiring identification information of a patient, acquiring medical data of the patient according to the identification information, and generating structured patient information; Analyzing the structured patient information based on preset medical rules and natural language processing models to generate a risk tag set containing risk types and risk grades; Generating risk prompt information according to the risk tag set, starting a confirmation mechanism at the same time, and locking an injection flow before confirmation is completed; and acquiring injection process data after the examination is finished, generating a structured report conforming to the medical information exchange standard, and transmitting the structured report back to the hospital information system.
  2. 2. The intelligent risk management and assistance method for a high pressure injector of claim 1, wherein the means for obtaining patient identification information comprises message construction and message transmission; The message construction method comprises the steps of constructing a query message which is required to meet HL7 standard; The acquiring patient medical data includes acquiring basic information, test data, allergy history and examination records of the patient from a hospital information system.
  3. 3. An intelligent risk management assistance method for a high pressure injector according to claim 1, wherein said analyzing structured patient information comprises: and executing preset medical rules on the inspection data of the structured patient information by adopting a rule engine, and simultaneously carrying out semantic analysis on the unstructured medical record text by adopting a natural language processing engine.
  4. 4. An intelligent risk management assistance method for a high pressure injector according to claim 3 wherein the rules engine and the analysis results of the natural language processing engine are fused and aggregated and a standardized risk tag set is generated by confidence calculation and conflict resolution mechanisms.
  5. 5. The intelligent risk management and control auxiliary method for the high-pressure injector according to claim 1, wherein the risk prompt information is displayed on a main control screen and a machine head display screen of the high-pressure injector after being generated; The main control screen displays risk details and processing suggestions, and the machine head display screen displays risk prompt information.
  6. 6. The intelligent risk management and assistance method for a high pressure injector of claim 5, wherein the validation mechanism comprises a flow lock control and a validation timer; The confirmation timing further comprises the step of re-triggering the risk prompting flow when the time of the confirmation timing is overtime and the confirmation operation is not completed.
  7. 7. The intelligent risk management assistance method for a high pressure injector of claim 1, wherein the injection process data includes recommended injection protocols, actual injection parameters, equipment operation data, and operator labeling information, and performs integrity checking on the collected data.
  8. 8. The intelligent risk management and assistance method for a high pressure injector of claim 7, wherein the structured report comprises a structured XML formatted report file generated based on the HL7 CDA standard, which is digitally signed and transmitted to a hospital information system via a secure interface.
  9. 9. An intelligent risk management assistance system for a high pressure injector, characterized in that an intelligent risk management assistance method for a high pressure injector according to any one of claims 1-8 is employed, comprising: the information grabbing subsystem is used for acquiring patient medical data through the hospital information system after acquiring the identification information of the patient, and processing the acquired patient medical data to generate structured patient information; The key information screening subsystem is used for analyzing the structured patient information based on preset medical rules and natural language processing models, identifying and comparing risk elements and generating a risk tag set containing risk types and risk grades; The information prompt subsystem is used for generating corresponding risk prompt information according to the risk tag set, synchronously displaying the risk prompt information on a display interface of the high-pressure injector, starting a confirmation mechanism, and locking an injection flow before the confirmation is completed; and the information archiving subsystem is used for collecting the injection process data after the examination is finished, generating a structured report which accords with the medical information exchange standard and transmitting the structured report back to the hospital information system.

Description

Intelligent risk management and control auxiliary method and system for high-pressure injector Technical Field The invention relates to an intelligent risk management and control auxiliary method and system for a high-pressure injector, and belongs to the technical field of medical equipment intelligent control and medical information systems. Background In the field of medical image examination, enhanced examinations such as Computed Tomography (CT) and magnetic resonance imaging (MR) have become an important means for clinical diagnosis and efficacy assessment, and such examinations generally require that iodine or gadolinium contrast agent be injected into a patient at a set flow rate and dosage by means of a high pressure syringe to obtain clear and stable image quality. However, contrast agent injection itself presents certain medical risks, such as allergic reactions, impaired renal function, and adverse reactions associated with past diseases or drug administration. Therefore, before the injection operation is executed, the medical information of the patient is accurately acquired and risk assessment is carried out, and the method is a key link for guaranteeing clinical safety and improving diagnosis and treatment quality. In the prior art, the high-pressure injector usually operates as independent equipment, the main functions of the high-pressure injector are concentrated on the setting and execution control level of injection parameters, the acquisition of medical information of a patient and the risk assessment work are finished manually, and medical staff need to respectively inquire basic information, test results, allergy history and past examination records of the patient through a hospital information system and judge potential risks by combining personal experience. In actual operation, the process often needs to be frequently switched among a plurality of system interfaces, information sources are scattered, data structures are not uniform, and problems of omission, misreading or delay are easy to occur. Meanwhile, different operators have differences in professional experience, risk sensitivity and operation habits, so that the risk assessment results lack consistency and repeatability. In addition, the existing mode has weak identification capability on key information in unstructured medical record texts, such as allergy history or complication information hidden in course descriptions and histories, is difficult to extract completely in time manually, and increases potential medical risks. Disclosure of Invention The invention aims to overcome the defects in the prior art, the existing high-pressure injector mainly relies on manual acquisition of medical information of a patient and judgment by experience in the clinical application process, the problems of low information acquisition efficiency, incomplete risk identification and insufficient accuracy exist, and meanwhile, the potential medical risk is easily ignored due to unstructured medical record text. In order to solve the technical problems, the invention is realized by adopting the following technical scheme: An intelligent risk management and control auxiliary system for a high-pressure injector is provided, comprising the following steps: Acquiring identification information of a patient, acquiring medical data of the patient according to the identification information, and generating structured patient information; Analyzing the structured patient information based on preset medical rules and natural language processing models to generate a risk tag set containing risk types and risk grades; Generating risk prompt information according to the risk tag set, starting a confirmation mechanism at the same time, and locking an injection flow before confirmation is completed; and acquiring injection process data after the examination is finished, generating a structured report conforming to the medical information exchange standard, and transmitting the structured report back to the hospital information system. Further, the method for acquiring the identification information of the patient comprises message construction and message transmission; The message construction method comprises the steps of constructing a query message which is required to meet HL7 standard; The acquiring patient medical data includes acquiring basic information, test data, allergy history and examination records of the patient from a hospital information system. Further, the analyzing the structured patient information includes: and executing preset medical rules on the inspection data of the structured patient information by adopting a rule engine, and simultaneously carrying out semantic analysis on the unstructured medical record text by adopting a natural language processing engine. Further, the analysis results of the rule engine and the natural language processing engine are fused and summarized, and a standardized risk tag set is generated throug